Update org card: rebrand DeepYoke -> HydroSophy

README.md

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-# DeepYoke AI Lab
+# HydroSophy AI Lab
 
 ## 🚀 Our Vision
 
-DeepYoke is dedicated to building bridges between intelligence and science, transforming complex scientific challenges into understandable and actionable intelligent solutions through cutting-edge multimodal AI technologies. We believe that true scientific breakthroughs emerge from deep interdisciplinary fusion and innovation.
+**HydroSophy** is a non-profit research collective dedicated to building bridges between **artificial intelligence** and the **natural sciences**. Inspired by the Greek roots *Hydro* (water) and *Sophia* (wisdom), we believe that knowledge — like water — should flow freely, nourishing discovery, dissolving disciplinary boundaries, and shaping the contours of tomorrow's science.
 
-Our mission is to democratize scientific discovery by making advanced AI tools accessible to researchers worldwide, accelerating the pace of innovation across multiple scientific domains.
+Our mission is to democratize scientific discovery by making advanced AI tools, rigorous benchmarks and high-quality datasets accessible to researchers worldwide, accelerating the pace of innovation across multiple scientific domains.
 
 ## 🌟 Research Focus
 
 ### 🧬 AI for Science
-- **Molecular Modeling & Drug Design** - Accelerating pharmaceutical research through intelligent molecular design
-- **Structural Biology** - Understanding protein structures and functions with AI
-- **Cheminformatics** - Bridging chemistry and computational intelligence  
-- **Scientific Computing Acceleration** - Optimizing computational workflows for scientific discovery
+
+- **Molecular Modeling & Drug Design** — Accelerating pharmaceutical research through intelligent molecular design and structure-level editing
+- **Structural Biology** — Understanding protein and small-molecule structures with AI
+- **Cheminformatics** — Bridging chemistry and computational intelligence
+- **Scientific Computing Acceleration** — Optimizing computational workflows for scientific discovery
 
 ### 🤖 Multimodal Intelligence
-- **Multimodal Large Language Models** - Integrating vision, language, and scientific reasoning
-- **Vision-Language Understanding** - Enabling AI to comprehend scientific diagrams and literature
-- **Intelligent Scientific Literature Analysis** - Extracting insights from vast research repositories
-- **Cross-modal Knowledge Fusion** - Synthesizing information across different data modalities
+
+- **Multimodal Large Language Models** — Integrating vision, language and scientific reasoning
+- **Vision–Language–Molecule Understanding** — Joint reasoning over SMILES, 2D depictions and natural language
+- **Intelligent Scientific Literature Analysis** — Extracting structured insight from vast research corpora
+- **Cross-modal Knowledge Fusion** — Synthesizing information across heterogeneous scientific modalities
 
 ### 📊 Benchmark & Evaluation
-- **Scientific AI Benchmarking** - Establishing rigorous evaluation standards for scientific AI
-- **Dataset Construction & Standardization** - Creating high-quality, standardized scientific datasets
-- **Evaluation Framework Development** - Building comprehensive assessment tools
-- **Open Science Ecosystem** - Fostering collaborative research environments
+
+- **Scientific AI Benchmarking** — Establishing rigorous, reproducible evaluation standards for AI4Science
+- **Dataset Construction & Standardization** — Creating high-quality, expert-annotated, mechanism-aware datasets
+- **Evaluation Framework Development** — Building transparent, extensible assessment toolkits
+- **Open Science Ecosystem** — Fostering collaborative, reproducible research environments
 
 ## 🏆 Featured Projects
 
-### 🧪 ToxiMol
-A comprehensive benchmark for molecular toxicity repair, evaluating the capabilities of Multimodal Large Language Models in structure-level molecular detoxification.
+### 🧪 ToxiMol  ·  *KDD 2026 Oral*
+
+A comprehensive benchmark for **molecular toxicity repair**, evaluating the capabilities of Multimodal Large Language Models in structure-level molecular detoxification.
 
-**[📊 Dataset](https://huggingface.co/datasets/DeepYoke/ToxiMol-benchmark)** | **[📄 Paper](https://arxiv.org/abs/2506.10912)** | **[🔬 Code](https://github.com/DeepYoke/ToxiMol)**
+**📊 [Dataset](https://huggingface.co/datasets/HydroSophyTech/ToxiMol-benchmark)**  |  **📄 [Paper](https://arxiv.org/abs/2506.10912)**  |  **🔬 [Code](https://github.com/HydroSophy/ToxiMol)**
 
 *Breaking Bad Molecules: Are MLLMs Ready for Structure-Level Molecular Detoxification?*
 
 ### 🔬 Upcoming Projects
-Coming Soon...
 
----
+- Multimodal foundation models for molecular reasoning
+- Mechanism-aware editing across broader therapeutic modalities
+- Open evaluation infrastructure for AI4Science
 
-<div align="center">
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-*"Where algorithms meet atoms, where intelligence illuminates discovery, where language bridges knowledge and practice - this is DeepYoke."*
+*"Where algorithms meet atoms, where intelligence illuminates discovery, where language bridges knowledge and practice — this is **HydroSophy**."*
 
 **Coding the Future of Science, Illuminating Tomorrow with Wisdom**
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